A New AI Research From Stanford Presents an Alternative Explanation for Seemingly Sharp and Unpredictable Emergent Abilities of Large Language Models

Researchers have long explored the emergent features of complex systems, from physics to biology to mathematics. Nobel Prize-winning physicist P.W. Anderson’s commentary “More Is Different” is one notable example. It makes the case that as a system’s complexity rises, new properties may manifest that cannot (easily or at all) be predicted, even from a precise […]

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